Iris.ai

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AI knowledge infrastructure for complex enterprise and scientific data

Site Internet :https://iris.ai/

Ajouté :13 juil. 2026

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AI knowledge managementEnterprise AIScientific researchRAGDocument ingestionKnowledge indexing

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Informations sur l’outil

Qu'est-ce que Iris.ai ?

Iris.ai is an AI knowledge infrastructure platform that ingests, indexes, enriches, and analyzes complex enterprise and scientific information. It supports knowledge management, research, and the development of AI applications using tools such as RSpace™, RAG, fine-tuning, evaluation, and agent systems.

Fonctionnalités principales

Enterprise data unification
Unifies complex enterprise data to support AI agents and applications.
RSpace™ document ingestion and navigation
Ingests text-based sources such as PDFs, PowerPoint files, and Word documents, then provides tools to navigate the content and extract actionable insights.
Knowledge enrichment and indexing
Indexes unstructured knowledge with descriptive titles, summaries, data-point indexing, and improved metadata.
Configurable knowledge monitoring
Supports precise, configurable updates for monitoring developments related to product development, compliance, and other requirements.
RAG and AI application infrastructure
Provides RAG, fine-tuning, evaluation, and agent systems, including a RAG-as-a-Service API for production deployments.
Domain adaptation
Supports applications across material science, biotechnology, engineering, and other industries through domain adaptation.
Security and factual-information focus
The platform is described as secure and private, with a focus on reducing hallucinations and retaining factual information.

Cas d'utilisation

#1
Research and development
Streamlines literature reviews and monitoring of published papers and patents for product development, competitor monitoring, and regulatory requirements.
#2
Enterprise knowledge management
Transforms internal documents and expert knowledge into indexed, actionable insights through RSpace™ tools.
#3
AI application development
Helps AI developers deploy scalable RAG, fine-tuning, evaluation, and agent systems for scientific and enterprise documentation.
#4
Regulated enterprise data applications
Provides a knowledge foundation for regulated enterprises working with complex enterprise data.

Idéal pour :Research and development teamsEnterprise knowledge management teamsAI application developersRegulated enterprises

Plans tarifaires

Pricing is not clearly published by the official source.

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